{"id":"W7125910757","doi":"10.1145/3757377.3794989","title":"10.1145/3757377.3794989","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Articulation (sociology); Component (thermodynamics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001804231,0.003093482,0.002289338,0.003077321,0.002494865,0.005229291,0.002707466,0.004753997,0.9262384],"category_scores_gemma":[0.003620669,0.001672033,0.001319388,0.01009582,0.001553374,0.009989473,0.005591115,0.002578303,0.9546198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002457572,"about_ca_system_score_gemma":0.001408877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0239229,"about_ca_topic_score_gemma":0.01811977,"domain_scores_codex":[0.9991909,0.00005910532,0.00007158881,0.0002352248,0.0002873801,0.0001557723],"domain_scores_gemma":[0.9983478,0.0003519387,0.00007330354,0.0005447672,0.0004105375,0.0002715856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001919378,0.0001255724,0.000434027,0.0004697796,0.00004070613,0.0001491715,0.00007573864,0.0006982632,0.0009507246,0.005639543,0.6970775,0.2941471],"study_design_scores_gemma":[0.00002856995,0.00001963829,0.0006503268,0.0002228195,0.00003771643,0.0001035446,0.00005920581,0.0007845662,0.0003781142,0.001698137,0.9959918,0.00002559267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002136327,0.006690732,0.01449002,0.002081974,0.002960758,0.0004729288,0.0215884,0.01644329,0.9331356],"genre_scores_gemma":[0.004085917,0.00308477,0.002691407,0.0008245327,0.0002056949,0.0002024263,0.01311083,0.002244367,0.9735502],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07376158,"threshold_uncertainty_score":0.1052119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05679846495402685,"score_gpt":0.2968081486674578,"score_spread":0.240009683713431,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}